https://scholars.lib.ntu.edu.tw/handle/123456789/630056
Title: | Multi-modal User Intent Classification Under the Scenario of Smart Factory (Student Abstract) | Authors: | Chiu, Yu-Ching Chang, Bo-Hao Chen, Tzu-Yu Yang, Cheng-Fu NANYI BI Tsai, Richard Tzong-Han HUNG-YI LEE YUNG-JEN HSU |
Keywords: | Dialog System, Multi-modal, User Intent Classification, Human-agent Interaction | Issue Date: | 18-May-2021 | Publisher: | Association for the Advancement of Artificial Intelligence | Journal Volume: | 35 | Journal Issue: | 18 | Start page/Pages: | 15771-15772 | Source: | Proceedings of the AAAI Conference on Artificial Intelligence | Abstract: | Question-answering systems are becoming increasingly popular in Natural Language Processing, especially when applied in smart factory settings. A common practice in designing those systems is through intent classification. However, in a multiple-stage task commonly seen in those settings, relying solely on intent classification may lead to erroneous answers, as questions rising from different work stages may share the same intent but have different contexts and therefore require different answers. To address this problem, we designed an interactive dialogue system that utilizes contextual information to assist intent classification in a multiple-stage task. Specifically, our system incorporates user’s utterances with real-time video feed to better situate users’ questions and analyze their intent. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130091117&partnerID=40&md5=21a08b092d5a5efd8c1cab0be1fbe9a8 | ISSN: | 2374-3468 2159-5399 |
DOI: | 10.1609/aaai.v35i18.17882 |
Appears in Collections: | 資訊管理學系 |
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